Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 101-120 / 450
-
Click-through Rate Prediction In Practice: A study of a click-through rate prediction system
(2019)Digital advertising is a huge business with tough competition. One of the ways to be more effective in the business is to serve better chosen ads to each user. One way to improve the ad selection is to predict the ... -
Cloud-Enhanced Intrusion Detection : Evaluating Deep Learning and Ensemble Methods Using Hikari 2021 Dataset
(2024)The thesis provides an in-depth analysis into machine learning and deep learning system methodologies for network invasion discovery using the HIKARI-2021 dataset. This involved the application of models like Random Forest, ... -
Color-optimized one-pixel attack against digital pathology images
(Fruct oy, 2021)Modern artificial intelligence based medical imaging tools are vulnerable to model fooling attacks. Automated medical imaging methods are used for supporting the decision making by classifying samples as regular or as ... -
Combating Involuntary Information Leakage in Video Conferences Using Computer Vision Algorithms
(2023)Information security is an endless process. With the evolution of technologies, this topic has been broadly discussed over time. During the COVID-19 pandemic, most activities have changed from personal attendance to online, ... -
Combining GPS and sensors to determine mode of transportation
(2023)The purpose of this thesis project was to identify different modes of transportation by making use of GPS data obtained from mobile devices, in contrast to other research of a similar nature. GPS-based methods use the ... -
Comparative Analysis of Clustering Techniques for Stock Selection in Finnish Stock Markets Using Common Financial Metrics
(2024)This thesis aimed to study the efficacy of unsupervised machine learning techniques, specifically clustering algorithms, in the context of stock selection. The goal was to find out are the clustering methods suitable for ... -
Comparative Analysis of Machine Learning Performance : Conventional Computer Versus Super-computer in Convolutional Neural Network Training
(2024)This study examined the difference in running time when a complete Convolutional Neural Network (CNN) learning process was performed on a regular computer versus a supercomputer with data collected by the Oulu University ... -
Comparative Analysis of Pre-Trained Models and Interpolation for Facial Expression Recognition
(2023)This study presents a comprehensive examination of facial emotion detection using the FER 2013 dataset. In numerous disciplines, including psychology, human-computer interface, and marketing research, efficient facial ... -
Comparative Analysis of Statistical and Machine Learning Models for Solar Energy Production Forecasting and Model Selection.
(2024)Efficient energy forecasting methods have become the focal point to ensure sustainable energy production. The present study aimed to use cutting-edge machine learning models along with blended statistical models to precisely ... -
Comparing Natural Language Models for Software Category Classification
(2023)The purpose of this thesis is to compare natural language machine learning models to find classification differences in the software category classification field. Software category classification is a text classification ... -
Comparing Path-Finding Algorithms and Machine Learning Model
(2024)This thesis focused on comparing A-star algorithm and some of its variants against Q-learning and Proximal Policy Optimization algorithms in terms of path finding and in game development perspective. Both Q-learning and ... -
Computational mathematics behind generative AI and machine learning
(2024)Neural networks have revolutionized various fields of computer science, especially machine learning and artificial intelligence. The purpose of this thesis was to examine the fundamentals of neural networks, overview the ... -
Computer Vision Deployment on Edge Devices
(2019)Artificial intelligence has been receiving tremendous progress in the past recent years thanks to the advancement of technology. Nowadays it is the most active field of RnD with huge resources and efforts to further it ... -
Condition Monitoring of Test Equipment Using Autoencoders
(2020)This project aimed to research and develop a condition monitoring solution for test equipment of a robotic manufacturing line. Measurement data collected by the test equipment is used to train an artificial neural network ... -
Contextualizing Environments with Semantic-Level Information: Scene recognition using computer vision and natural language processing algorithms
(2021)Indoor scene recognition and semantic information can be useful for social robots. Recently, in the field of indoor scene recognition researchers have incorporated object-level information and shown improved performances ... -
Creating a strategy for AI integration in content marketing
(2023)This bachelor's thesis explores the diverse potential of artificial intelligence (AI) in the field of content marketing while addressing the associated risks. The objective of this research is to improve the knowledge of ... -
Creating Self-Learning AI using Unity Machine Learning
(2019)Tarkoituksena oli kehittää tekoäly yksinkertaiselle pelille käyttämällä kahta erillistä menetelmää Unity-pelimoottorin kanssa ja verrata tuloksia toisiinsa. Toteutustapoina käytettiin Unity-pelimoottorin omaa navigointi- ... -
Custom Object Detection with One-stage Detector
(2023)Object detection has become a popular topic of discussion in the field of artificial intelligence (AI). Its use and scope have been widening as the influence of AI technology has been rising. The objective of this study ... -
Customer Requirements Analysis in Machine Learning Projects
(2020)This Bachelor Thesis explores the various requirements of Machine Learning projects that utilize numerical data in their models. By interviewing various experts in the fields; varying in expertise, age, gender and ethnicity; ... -
Customer Segmentation and Targeting by Data Science Methods
(2020)The objective of this thesis is performing a segmentation analysis as well as classifying target segment members with a given survey data. With the performance of this customer survey data analysis, the purpose of this ...



















